לוח משרות דרושים Backend Engineer

Requirements:
What You'll Need
3+ years building production backend systems
Strong experience with RESTful APIs and database design
Proficiency in TypeScript or similar statically-typed languages (Go, Java, etc.)
Experience with message queues and event-driven architectures
Knowledge of testing strategies (unit, integration, e2e)
Understanding of containerization and deployment pipelines
Willingness to occasionally work on React components
Primary Stack Components
NestJS (TypeScript) - your main focus
MongoDB and Postgres
RabbitMQ
Kubernetes
React (TypeScript) - occasional work, no expertise needed
Nice To Have
Cyber-security background
A poster of uncle Bob
Any frontend experienc.

Requirements:
5+ years of experience in a backend-heavy role using Python/GO/C++/Java
Proven track record of developing and maintaining production-grade, enterprise-level distributed systems
Experience in system architecture and the ability to find creative, elegant solutions to complex problems
Deep understanding of performance optimization and concurrency in high-scale, data-intensive environments
Analytical mindset and a data-driven approach for problem-solving
The mentality of a team player, excellent communication skills and a strong sense of ownership and urgency
BS degree in Computer Science, Information Technology or equivalent
Desirable Multipliers:
Experience with ETL / data pipeline (experience with Spark is a plus)
SQL and no-SQL databases
Asynchronous programming
Microservice architecture
Network Security.

Requirements:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent experience.

2+ years of experience.

Proven experience in RTL2GDS flows and methodologies. (advantage)

Knowledge in physical design flows and methodologies (PNR, STA, physical verification). (advantage)

Deep understanding of all aspects of Physical construction and Integration.

Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).

Great teammate.

Requirements:
Team players. Rockstars without the ego. Fast learners that work hard and get stuff done.
BSc in Computer Science or equivalent is a MUST.
5+ Years software development experience.
Java experience is a must.
Experience in developing high performance scalable backend systems.
Extensive DB experience (MySQL, Mongo, Redis).
Kafka/Confluent or other distributed events platform is an advantage.
Previous fintech experience is a plus.
Cloud platforms (esp AWS) knowledge is an advantage.

Requirements:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent work experience.

5+ years of experience in Physical Design.

Proven experience in RTL2GDS flows and methodologies.

Knowledge in physical design flows and methodologies (PNR, STA, physical verification).

Deep understanding of all aspects of Physical construction and Integration.

Strong background of Physical Design Verification methodology LVS/DRC.

Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc).

Great teammate.

Requirements:
At least 5 years of experience in backend development.
Bachelor's degree in computer science or a related field.
Experience with Python.
Demonstrated passion for technology and a strong desire to learn and evolve.
AWS / GCP / Azure experience.
Advantage:
Proficiency with Kubernetes and Docker.
Experience with microservices-based architecture.
Proven record of developing and scaling highly available products, distributed, and largescale.

Requirements:
Requirements:
5+ years of server side development experience
3+ years of Python development experience
Good understanding of database concepts and structure
Strong communicator - being able to simplify complex ideas to stakeholders.
Startup mindset - Taking ownership, responsibility and initiative, customer first mentality, striving to have a wide product understanding, detail orientation, critical thinking, reasoning tradeoffs of different solutions (good vs. great vs. perfect), not afraid to get your hands dirty - do what needs to be done.
Good understanding of software development methodologies, such as Agile and Scrum
Strong Problem-solving skills.
Familiarity with micro-services architectures, and ideally have seen them in operation at a global scale.

Advantages:
A passion for utilizing AI to increase development efficiency dramatically.
Startup experience
Strong analytical background - In academic studies (s.a - CS, mathematics, physics, EE) or previous work experience where you have tackled challenging problems.

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering.
Proficiency in programming languages such as C#, Python, Java, or Go.
Experience building large-scale infrastructure applications or large-scale web applications.
Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes.
High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes.
Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
Demonstrated experience in integrating and leveraging AI tools to enhance development workflows.

Requirements:
3-4 years of managerial experience, leading small-medium engineering teams - Must
7+ years of experience building production-grade backend systems, with deep expertise in TypeScript and Node.js - Must
Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) - Must
Experience building cloud-native systems on AWS, with a strong understanding of tradeoffs in scalability, reliability, and cost - Must
Hands-on experience using Kafka in real production environments, with strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) - Must
Practical experience with Docker-based workflows and modern containerized development practices - Must
Familiarity with Kubernetes (including EKS) and/or ECS, and understanding how services behave when deployed and scaled in container orchestration environments - Must
Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres), with clear understanding of data modeling and tradeoffs - Must
B.Sc. in Computer Science or equivalent experience
(AI-driven engineering practices)
Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows - Must
Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis - Must
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
Ability to critically assess AI-generated output and apply strong engineering judgment
Interest in emerging AI tooling and how it can enhance, not replace, strong software engineering practices.

Requirements:
7+ years of experience building production-grade backend systems, with deep expertise in TypeScript and Node.js - Must
Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) - Must
Experience building cloud-native systems on AWS, with a strong understanding of tradeoffs in scalability, reliability, and cost - Must
Hands-on experience using Kafka in real production environments, with strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) - Must
Practical experience with Docker-based workflows and modern containerized development practices - Must
Familiarity with Kubernetes (including EKS) and/or ECS, and understanding how services behave when deployed and scaled in container orchestration environments - Must
Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres), with clear understanding of data modeling and tradeoffs - Must
B.Sc. in Computer Science or equivalent experience
(AI-driven engineering practices)
Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows - Must
Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis - Must
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
Ability to critically assess AI-generated output and apply strong engineering judgment
Interest in emerging AI tooling and how it can enhance, not replace, strong software engineering practices.

Requirements:
Minimum 5 years of experience in Python.
Experience with React and TypeScript - an advantage
Familiarity with state management libraries.
At least 4 years of experience in REST API and Backend development.
Ability to solve complex technical challenges with autonomy, top-notch design, and analytical skills.
A mindset that challenges the status quo, always seeking workflow improvements.
Proficiency in creating and maintaining reusable and maintainable components.
Experience in writing unit tests and end-to-end.
Ability to learn and adapt to new technologies and languages.
Experience addressing performance issues (both in web apps and backend).

Requirements:
Seasoned Developer: 5+ years of software development experience, with at least 5+ years focused on .NET Core/C#.
Architecture Experience: Hands-on experience in designing distributed systems, event-driven architectures, and scalable microservices.
Cloud Environment Experience: Hands-on experience working in cloud environments, with a preference for Google Cloud Platform (GCP).
Containerization & Messaging: Experience with containerization and orchestration tools such as Docker and Kubernetes, and messaging systems such as Kafka and RabbitMQ.
Database Experience: Hands-on experience working with high-scale databases such as ClickHouse, MySQL, and Redis, including performance considerations.
AI-Assisted Development: Hands-on experience using GenAI tools as part of daily development workflows (e.g., Cursor, Claude).
Thought Leader: An architectural thinker who is meticulous, original in problem-solving, and capable of identifying complex edge cases.
Experience building and maintaining robust, scalable systems designed to handle high traffic and heavy workloads.
Experience with advanced data visualization or real-time monitoring tools (e.g., Datadog, Databricks) - Advantages.

Requirements:
Experienced and innovative problem-solver.
Proven experience leading big features & designs from rough ideas to requirements up to development & production
At least 5 years of C\C++ experience in a multi-threaded performance-critical programming
Excellent communication and collaboration skills, especially in cross-functional environments
It will be great if you also have prior experience with:
Experience working with public cloud (AWS, Azure) services and APIs
Kubernetes
. Kernel space programming
Virtualization
Storage
Networking
Scrum/Agile
Advanced project management skills including time and risk management as well as resource prioritization.
Development teams leadership experience.

Requirements:
BSc. in computer science (or equivalent).
At least 2 years of proven experience as a team leader.
4+ years of hands-on development experience in C# or Java, focusing on enterprise backend/server-side systems
Hands-on mentality with a can-do, innovative approach.
Broad knowledge of system architecture patterns and best practices
Independent research capabilities of new technologies
Great design and architecture capabilities accompanied by passion for clean code and solid architectures.
Customer-facing and business-oriented approach.
Great soft skills, desire for mentoring and training people, and excellent inbound and outbound communication skills.
Strong capabilities in performance tuning and troubleshooting of large-scale systems
Excellent communication capabilities in English
Experience with virtualization technologies
Experience working with public cloud services and APIs (AWS, Azure, Google).
Familiarity with storage, security, and networking concepts.
Familiarity with Linux and Windows operation system

Requirements:
5+ years of hands-on experience as a backend engineer in Python (preferred) , Java or Go.
Knowledge in Cyber Security/ Networking- Must.
Experience with RESTful API development.
Experience in coding to cloud production environments such as AWS.
Strong desire to bring products to life, supporting a demanding user base, constantly introducing innovative features whilst keeping things stable.
Experience with relational databases such as MySQL, Postgresql.
Non-relational / NoSQL databases such as Elasticsearch, DynamoDB, MongoDB, or similar.
Experience with microservices architecture.
Experience with Event based architecture and infrastructures such as: Kafka, Kinesis, SNS/SQS - Advantage.
Experience with Docker & Kubernetes.
Excellent communication skills in Hebrew and English.